A deep decarbonization pathway for Peru's rainforest

Daniel De La Torre Ugarte, Mauricio Collado, Fernando Requejo, Ximena Gomez, Carlos Heros

Research output: Contribution to journalArticle in a journalpeer-review

Abstract

Peru holds an important portion of the South American rainforest. An average deforestation rate of 145,000 ha a year makes it the largest source of GHG emissions. Based on the drivers of deforestation, this paper proposes a deep decarbonization pathway (DDP) through the year 2050 with the purpose of taking the country closer to achieving the net-zero emissions goal. The impacts of the pathway are estimated using POLYSYS-Peru, an equilibrium displacement model for the integrated analysis of land-use changes and agriculture. The results indicate that the proposed DDP pathway, by preventing the deforestation of 4 million hectares of primary forests, would reduce GHG emissions by an accumulated 1778 Mt CO2 eq. compared to the business as usual scenario, and 497 Mt CO2 eq. more than the Nationally Determined Contributions.
Original languageEnglish
Article number100675
Number of pages13
JournalEnergy Strategy Reviews
Volume36
Early online date9 Jul 2021
DOIs
StatePublished - Jul 2021

Bibliographical note

Publisher Copyright:
© 2021 The Authors

Keywords

  • Decarbonization
  • LULUCF
  • Forest
  • Equilibrium displacement model

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